#!/bin/bash
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export CUDA_VISIBLE_DEVICES=0

DALI_BACKEND_DIR=$1

CLIENT_PY=$DALI_BACKEND_DIR/qa/inception_ensemble/ensemble_client.py
CLIENT_LOG="./client.log"

MODEL_REPO=$DALI_BACKEND_DIR/docs/examples/inception_ensemble/model_repository

SERVER=/opt/tritonserver/bin/tritonserver
SERVER_ARGS="--model-repository=$MODEL_REPO"
SERVER_LOG="./inference_server.log"
source ../common/util.sh

pushd $MODEL_REPO/..
/bin/bash -x ./setup_inception_example.sh
popd

run_server
if [ "$SERVER_PID" == "0" ]; then
  echo -e "\n***\n*** Failed to start $SERVER $SERVER_ARGS\n***"
  cat $SERVER_LOG
  exit 1
fi

RET=0

set +e
python $CLIENT_PY --img_dir $DALI_BACKEND_DIR/qa/inception_ensemble/images --model_name ensemble_dali_inception --batch_size 3 >>$CLIENT_LOG 2>&1
if [ $? -ne 0 ]; then
  RET=1
fi
set -e

kill $SERVER_PID
wait $SERVER_PID

if [ $RET -eq 0 ]; then
  echo -e "\n***\n*** Test Passed\n***"
else
  cat $CLIENT_LOG
  echo -e "\n***\n*** Test FAILED\n***"
fi

exit $RET
